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annotate m-toolbox/classes/@ao/fft.m @ 0:f0afece42f48

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Import.
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Wed, 23 Nov 2011 19:22:13 +0100
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Daniele Nicolodi <nicolodi@science.unitn.it>
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1 % FFT overloads the fft method for Analysis objects.
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2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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3 %
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4 % DESCRIPTION: FFT overloads the fft operator for Analysis objects.
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5 %
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6 % CALL: b = fft(a, pl)
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7 %
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8 % PARAMETERS: 'type' - plain, one or two sided fft [default: 'plain']
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9 %
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10 % <a href="matlab:utils.helper.displayMethodInfo('ao', 'fft')">Parameters Description</a>
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11 %
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12 % VERSION: $Id: fft.m,v 1.50 2011/04/28 21:31:31 mauro Exp $
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13 %
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14 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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15
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16 function varargout = fft(varargin)
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17
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18 % Check if this is a call for parameters
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19 if utils.helper.isinfocall(varargin{:})
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20 varargout{1} = getInfo(varargin{3});
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21 return
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22 end
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23
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24 import utils.const.*
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25 utils.helper.msg(msg.PROC3, 'running %s/%s', mfilename('class'), mfilename);
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26
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27 % Collect input variable names
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28 in_names = cell(size(varargin));
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29 for ii = 1:nargin,in_names{ii} = inputname(ii);end
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30
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31 % Collect all AOs
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32 [as, ao_invars] = utils.helper.collect_objects(varargin(:), 'ao', in_names);
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33
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34 % Decide on a deep copy or a modify
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35 bs = copy(as, nargout);
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36
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37 % Apply defaults to plist
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38 pl = applyDefaults(getDefaultPlist, varargin{:});
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39
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40 % two-sided or one?
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41 type = find(pl, 'type');
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42
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43 % scale?
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44 scale = utils.prog.yes2true(find(pl, 'scale'));
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45
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46 % Check input analysis object
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47 for jj = 1:numel(bs)
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Daniele Nicolodi <nicolodi@science.unitn.it>
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48 % call core method of the fft
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49 bs(jj).fft_core(type);
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50 % scale if desired
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51 if scale
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52 bs(jj) = bs(jj)./ao(plist('vals',as(jj).fs,'yunits','Hz'));
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53 end
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54 % set name
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55 bs(jj).name = sprintf('fft(%s)', ao_invars{jj});
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56 % Add history
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57 bs(jj).addHistory(getInfo('None'), pl, ao_invars(jj), bs(jj).hist);
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58 end
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59
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60 % Set output
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61 varargout = utils.helper.setoutputs(nargout, bs);
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62 end
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63
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64 %--------------------------------------------------------------------------
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65 % Get Info Object
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66 %--------------------------------------------------------------------------
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67 function ii = getInfo(varargin)
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68 if nargin == 1 && strcmpi(varargin{1}, 'None')
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69 sets = {};
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70 pl = [];
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71 else
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72 sets = {'Default'};
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73 pl = getDefaultPlist();
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74 end
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75 % Build info object
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76 ii = minfo(mfilename, 'ao', 'ltpda', utils.const.categories.sigproc, '$Id: fft.m,v 1.50 2011/04/28 21:31:31 mauro Exp $', sets, pl);
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77 end
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78
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79 %--------------------------------------------------------------------------
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80 % Get Default Plist
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81 %--------------------------------------------------------------------------
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82 function plout = getDefaultPlist()
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83 persistent pl;
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84 if ~exist('pl', 'var') || isempty(pl)
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85 pl = buildplist();
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86 end
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87 plout = pl;
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88 end
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89
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90 function plo = buildplist()
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91 plo = plist();
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92
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93 % FFT Type
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94 p = plist({'type', 'The fft type. Plain (complete non-symmetric), One-sided (from zero to Nyquist) or two-sided (complete symmetric).'}, {2, {'plain', 'one', 'two'}, paramValue.SINGLE});
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95 plo.append(p);
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96
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97 % Scale by sample rate?
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98 p = param({'scale',['set to ''true'' to scale FFT by sampling rate to match '...
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99 'amplitude in continuous domain. Only applicable to time-series AOs.']},...
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100 paramValue.FALSE_TRUE);
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101
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102 plo.append(p);
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103
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104 end